We develop and estimate a stochastic model of patient compliance and persistence regarding pharmaceutical drugs. Persistence refers to whether a patient continues with therapy, i.e., whether the patient continues to obtain refills of the drug. Compliance refers to whether the customer obtains a refill on time, given he or she does in fact obtain a refill. We develop a simple stochastic model of...

mobile technology and mobile learning are considered as important and impressive factors in earning the organizational competencies and achieving competitive advantages and customer loyalty. the purpose of this study is to evaluate the role of mobile technology in customer loyalty. the mellat bank mobile services are entering a new transition period. in response, the banking industrial is shift...

In software development, the selection of a process model set base for success product. An inappropriate may lead to delay in project release, introduce defects and make difficult update. This lack quality characteristics risk losing customer expectations as well failure itself. case complex systems, problems become more severe. To meet such expectations, agile methodologies are used ensure cus...

T measurement of customer lifetime value is important because it is used as a metric in evaluating decisions in the context of customer relationship management. For a firm, it is important to form some expectations as to the lifetime value of each customer at the time a customer starts doing business with the firm, and at each purchase by the customer. In this paper, we use a hierarchical Bayes...

This paper analyzes the interaction of direct and indirect risk selection in health insurance markets. It is shown that direct risk selection - using measures unrelated to the benefit package like selective advertising or 'losing' applications of high risk individuals - nevertheless has an influence on the distortions of the benefit package caused by indirect risk selection. Direct risk selecti...

This study wants to investigate the rating of the actual customers of banks based on credit risk using multiple criteria decision making and artificial intelligence hyperbolic regression. This is an applied research. The statistical population of the study includes the credit customers of Agriculture Bank in west branches of Mazandaran province, Iran in 2012-2016. A total of 100 cases have been...

Background: Predicting adverse neurovascular complications due to diabetic ketoacidosis (DKA) particularly in children leads to more appropriately management of disease as well as achievement of acceptable patients' survival. Cerebral edema is a life-threatening adverse event following DKA responsible for high mortality rate. Recently, authors have focused introducing new risk assessment tools ...